There are 274 repositories under deep-neural-networks topic.
An Open Source Machine Learning Framework for Everyone
DeepFaceLab is the leading software for creating deepfakes.
The most cited deep learning papers
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Learn OpenCV : C++ and Python Examples
machine learning and deep learning tutorials, articles and other resources
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
pix2code: Generating Code from a Graphical User Interface Screenshot
A paper list of object detection using deep learning.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Techniques for deep learning with satellite & aerial imagery
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
An open source library for deep learning end-to-end dialog systems and chatbots.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
A flexible, high-performance serving system for machine learning models
TensorFlow documentation
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
:alarm_clock: AI conference deadline countdowns
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Low-code development tool based on PaddlePaddle(飞桨低代码开发工具)
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller